Triple
T20495312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Kohl |
E502856
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Andrea Kohl |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Andrea Kohl | Statement: [Walter Kohl, spouse, Andrea Kohl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrea Kohl Context triple: [Walter Kohl, spouse, Andrea Kohl]
-
A.
Andrea Kohl
chosen
Andrea Kohl is known as the wife of German entrepreneur and author Walter Kohl, the son of former Chancellor Helmut Kohl.
-
B.
Julie Kohler
Julie Kohler is the vengeful widow in François Truffaut’s film "The Bride Wore Black," who methodically hunts down the men responsible for her husband’s death.
-
C.
Andrea Kremer
Andrea Kremer is an American sports journalist and broadcaster renowned for her pioneering NFL coverage and in-depth reporting on major sporting events.
-
D.
Lisa Kehler
Lisa Kehler is an individual notable enough to be recognized as a prominent bearer of the surname Kehler.
-
E.
Lisa Eilbacher
Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbd2dfc81908204f7bfa8a763b6 |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.